El-Swais Heba, Dunn Katherine A, Bielawski Joseph P, Li William K W, Walsh David A
Department of Biology, Concordia University, 7141 Sherbrooke St West, Montreal, QC, H4B 1R6, Canada.
Department of Biology, Dalhousie University, 1355 Oxford St, Halifax, NS, B3H 4R2, Canada.
Environ Microbiol. 2015 Oct;17(10):3642-61. doi: 10.1111/1462-2920.12629. Epub 2015 Jan 30.
Temperate oceans are inhabited by diverse and temporally dynamic bacterioplankton communities. However, the role of the environment, resources and phytoplankton dynamics in shaping marine bacterioplankton communities at different time scales remains poorly constrained. Here, we combined time series observations (time scales of weeks to years) with molecular analysis of formalin-fixed samples from a coastal inlet of the north-west Atlantic Ocean to show that a combination of temperature, nitrate, small phytoplankton and Synechococcus abundances are best predictors for annual bacterioplankton community variability, explaining 38% of the variation. Using Bayesian mixed modelling, we identified assemblages of co-occurring bacteria associated with different seasonal periods, including the spring bloom (e.g. Polaribacter, Ulvibacter, Alteromonadales and ARCTIC96B-16) and the autumn bloom (e.g. OM42, OM25, OM38 and Arctic96A-1 clades of Alphaproteobacteria, and SAR86, OM60 and SAR92 clades of Gammaproteobacteria). Community variability over spring bloom development was best explained by silicate (32%)--an indication of rapid succession of bacterial taxa in response to diatom biomass--while nanophytoplankton as well as picophytoplankton abundance explained community variability (16-27%) over the transition into and out of the autumn bloom. Moreover, the seasonal structure was punctuated with short-lived blooms of rare bacteria including the KSA-1 clade of Sphingobacteria related to aromatic hydrocarbon-degrading bacteria.
温带海洋中栖息着多样且随时间动态变化的浮游细菌群落。然而,在不同时间尺度上,环境、资源和浮游植物动态对塑造海洋浮游细菌群落的作用仍知之甚少。在此,我们将时间序列观测(从数周到数年的时间尺度)与对来自西北大西洋一个沿海入海口的福尔马林固定样本的分子分析相结合,以表明温度、硝酸盐、小型浮游植物和聚球藻丰度的组合是年度浮游细菌群落变异性的最佳预测指标,可解释38%的变异。通过贝叶斯混合模型,我们确定了与不同季节时期相关的共现细菌组合,包括春季水华(如极地杆菌属、石莼杆菌属、交替单胞菌目和ARCTIC96B - 16)和秋季水华(如α-变形菌纲的OM42、OM25、OM38和北极96A - 1分支,以及γ-变形菌纲的SAR86、OM60和SAR92分支)。春季水华发展过程中的群落变异性最好由硅酸盐(32%)来解释——这表明细菌类群对硅藻生物量的快速演替——而微型浮游植物以及微微型浮游植物的丰度则解释了秋季水华进出过程中的群落变异性(16 - 27%)。此外,季节性结构还穿插着稀有细菌的短暂水华,包括与降解芳烃细菌相关的鞘氨醇杆菌属的KSA - 1分支。